Artificial neural network cardiopulmonary modeling and diagnosis
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United States of America Patent
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Oct 28, 1997
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N/A
app pub date -
Mar 29, 1996
filing date -
Mar 29, 1996
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Abstract
The present invention is a method of diagnosing a cardiopulmonary condition in an individual by comparing data from a progressive multi-stage test for the individual to a non-linear multi-variate model, preferably a recurrent artificial neural network having sensor fusion. The present invention relies on a cardiovascular model developed from physiological measurements of an individual. Any differences between the modeled parameters and the parameters of an individual at a given time are used for diagnosis.
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